Falcon-H1-Tiny-R-0.6B

570
14
—
by
tiiuae
Language Model
OTHER
0.6B params
New
570 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
2GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
1GB+ RAM

Training Data Analysis

🔴 Low Quality (2.5/10)

Researched training datasets used by Falcon-H1-Tiny-R-0.6B with quality assessment

Specialized For

general
science

Training Datasets (1)

common crawl
🔴 2.5/10
general
science
Key Strengths
  • •Scale and Accessibility: At 9.5+ petabytes, Common Crawl provides unprecedented scale for training d...
  • •Diversity: The dataset captures billions of web pages across multiple domains and content types, ena...
  • •Comprehensive Coverage: Despite limitations, Common Crawl attempts to represent the broader web acro...
Considerations
  • •Biased Coverage: The crawling process prioritizes frequently linked domains, making content from dig...
  • •Large-Scale Problematic Content: Contains significant amounts of hate speech, pornography, violent c...

Explore our comprehensive training dataset analysis

View All Datasets

Code Examples

Apple `mlx`bashvllm
# pip install vllm>=0.9.0
vllm serve tiiuae/Falcon-H1-Tiny-R-0.6B --tensor-parallel-size 2 --data-parallel-size 1 --reasoning-parser qwen3
pip install vllm>=0.9.0bash
python -m sglang.launch_server \
  --model ttiiuae/Falcon-H1-Tiny-R-0.6B \
  --tensor-parallel-size 1

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